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Director - Software Product Management, Enterprise AI Orchestration
Job in
Indianapolis, Marion County, Indiana, 46202, USA
Listed on 2026-01-22
Listing for:
Lilly
Full Time
position Listed on 2026-01-22
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst
Job Description & How to Apply Below
We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
The Software Product Engineering (SPE) organization is seeking an exceptional leader to establish and drive our Enterprise AI Orchestration strategy. This role will define how Lilly deploys, manages, and optimizes AI agents and workflows at organizational scale, transforming how work gets done across the enterprise. You will own the product strategy for an enterprise AI orchestration product and capabilities that sit above our existing AI platforms.
This is a unique opportunity to shape the future of enterprise AI adoption in pharmaceuticals, working at the intersection of advanced technology and business transformation. The role requires someone who can think strategically about organizational change while maintaining deep technical understanding of AI systems.
** What You'll Be Doing:*
* Building on Lilly's established genAI platform (Cortex) and employee-facing AI products, you will create an orchestration layer that enables leaders and teams to deploy and manage AI work forces will define how organizations monitor agent performance, optimize workflows, and measure the business impact of AI deployment.
As the Product Manager for Enterprise AI Orchestration, you will establish Lilly as a leader in pharmaceutical AI transformation by creating capabilities that turn individual AI tools into coordinated organizational assets. This role requires balancing technical sophistication with business pragmatism, ensuring our AI investments deliver measurable enterprise value.
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* Key Responsibilities:
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* ** Strategy and Vision:*
* + Define and drive the enterprise AI orchestration strategy, establishing how Lilly deploys and manages AI agents at organizational scale
+ Enable measurement of Digital Worker Impact (DWI) and AI workforce ROI across the enterprise
+ Establish governance models for enterprise AI deployment that balance innovation with compliance requirements
+ Partner with C-suite and senior leaders to align AI workforce strategy with business transformation goals
** Product Development:*
* + Own the Pharm
AI platform roadmap (enterprise AI orchestration platform) and associated enterprise orchestration capabilities
+ Define integration strategies with existing platforms and products to create a unified AI ecosystem
+ Establish standards for agent interoperability and workflow orchestration across business units
+ Drive development of business-specific AI studios (Finance, Legal, Clinical, etc.) in partnership with domain leaders
** Enterprise Enablement:*
* + Create playbooks and frameworks for business units to build and manage their AI work forces
+ Establish Centers of Excellence for AI workforce deployment across key business areas
+ Define success metrics and KPIs for enterprise AI adoption and impact
+ Build executive dashboards for AI workforce visibility and governance
** Organizational Leadership:*
* + Monitor pharmaceutical industry trends in enterprise AI adoption and workforce transformation
+ Influence enterprise-wide AI adoption strategy and change management
+ Partner with HR, Finance, and Operations on AI workforce planning and impact assessment
+ Lead cross-functional steering committees for major AI transformation initiatives
+ Serve as a spokesperson for enterprise AI orchestration internally and externally
** What You Should Bring:*
* + Demonstrated ability to influence C-suite stakeholders and drive organizational change
+ Excellence in strategic thinking with ability to translate vision into executable roadmaps
+ Strong business acumen with experience in ROI modeling and business case development
+ Outstanding communication skills with ability to articulate…
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